Solutions Engineer

Salary Range: 95000 to 130000 (Currency: USD) (Pay period: per-year-salary)

Main Responsibilities

● Analyze customer operational data to understand order profiles, SKU profiles
throughput requirements, labor productivity, and other inputs required for design.


● Develop AMR solutions including workflows, facility layouts, cart configurations,
labor requirements, productivity estimates, and descriptions of operation.


● Build and analyze discrete-event simulations to validate system performance,
evaluate design alternatives, identify bottlenecks, and support fleet sizing.


● Develop and modify warehouse layouts using AutoCAD.


● Participate in customer discovery calls, technical discussions, site visits, and
facility walkthroughs to understand current operations and validate solution
assumptions.

● Identify missing /or inconsistent data, develop engineering assumptions, and
clearly document the inputs and methods behind solution recommendations.


● Partner with Sales to develop proposals, presentations, ROI analyses, and other
materials that communicate the operational/business value of Robust.AI solutions.


● Support customer demonstrations, technical reviews, and other engagements
throughout the sales process.


● Collaborate with Product, Software, Deployment, and Engineering teams to
evaluate technical requirements, product capabilities, implementation
considerations, and potential solution risks.


● Develop and improve internal analytical tools, simulation models, and processes
that make solution development faster, more consistent, and scalable.


● Manage multiple customer projects concurrently and prioritize work based on
deadlines and business needs.

Minimum Requirements

● Bachelor's degree in Industrial Engineering, Mechanical Engineering, Operations
Research, Supply Chain, Computer Science, Robotics, or a related technical field.
 
● Strong analytical and quantitative problem-solving skills, with the ability to work
with large and imperfect real-world datasets.
 
● 1–4 years of experience in industrial engineering, supply chain, warehouse
operations, automation, data science, or a related field.
 
● Experience analyzing data using tools such as Excel, Python, SQL, or Power BI.
 
● Ability to clearly communicate technical concepts, assumptions, and analytical
results to both technical and non-technical audiences.
 
● Understanding of warehouse or manufacturing operations, material flow,
throughput, capacity, and labor productivity.
 
● Experience with AutoCAD or similar CAD software for facility layouts.
 
● Ability to manage multiple projects concurrently and work effectively in a fast-
paced environment.
 
● Willingness to travel up to 20–30% for customer site visits, proposal reviews,
demonstrations, and post-deployment support.

Nice to Have

● Experience with warehouse automation, including AMRs, AGVs, goods-to-person
systems, conveyor, sortation, or other material-handling technologies.

● Experience with discrete-event simulation software, preferably FlexSim.

● Strong Python skills for data processing, visualization, simulation, optimization, or
engineering tool development.

● Familiarity with warehouse optimization techniques such as batch picking,
zoning, order clustering, SKU slotting, and labor planning.

● Familiarity with warehouse management systems (WMS), warehouse control
systems (WCS), and other logistics software.

● Experience developing automation concepts, productivity models, capacity
models, or ROI analyses.

● Experience working directly with customers in a technical, consulting, pre-sales, or
project environment.

● Fluency in Spanish or Portuguese is a plus.

What You'll Bring to the Table

● A genuine passion for robotics, automation, and warehouse logistics, with
curiosity about how technology can improve real-world operations.

● A strong problem-solving mindset and comfort working on problems where the
answer is not immediately obvious.

● Attention to detail and a willingness to question inputs, validate assumptions, and
sanity-check analytical results.

● The ability to move between data, layouts, simulation models, and customer
conversations to understand how an operation works as a complete system.

● Strong ownership of your work and the ability to clearly explain what you
analyzed, what you assumed, what you found, and what you recommend.

● A collaborative mindset and enthusiasm for working across Sales, Engineering,
Product, Software, and Deployment teams.

What We Offer

● $95,000–$130,000, experience dependent
● Full benefits (health, dental, vision, life)
● Stock options
● Flexible vacation and sick leave practices
● Remote work
● Opportunity for career growth